Can AI have common sense? Finding out will be key to achieving machine intelligence
Large language models currently struggle with common sense reasoning despite excelling in various tasks, making true artificial general intelligence a challenge.
How AI is reshaping science and society
AI models like AlphaFold and ChatGPT demonstrate the profound potential of deep learning technologies in transforming human cognition and predictive analysis.
AI model collapse might be prevented by studying human language transmission
Training AI models iteratively can lead to 'model collapse', where the accuracy and relevance of outputs decline significantly.
The Most Sophisticated AIs Are Most Likely to Lie, Worrying Research Finds
New AI chatbots are becoming less trustworthy by providing more answers, including a higher proportion of inaccuracies compared to older models.
When LLMs Learn to Lie
Large language models (LLMs) are increasingly being misused for misleading purposes, reflecting human-driven manipulation rather than inherent flaws in the models themselves.
Meta's Yann LeCun says worries about A.I.'s existential threat are 'complete B.S.' | TechCrunch
Yann LeCun asserts that AI is not close to achieving true intelligence and lacks essential capabilities for it.
Can AI have common sense? Finding out will be key to achieving machine intelligence
Large language models currently struggle with common sense reasoning despite excelling in various tasks, making true artificial general intelligence a challenge.
How AI is reshaping science and society
AI models like AlphaFold and ChatGPT demonstrate the profound potential of deep learning technologies in transforming human cognition and predictive analysis.
AI model collapse might be prevented by studying human language transmission
Training AI models iteratively can lead to 'model collapse', where the accuracy and relevance of outputs decline significantly.
The Most Sophisticated AIs Are Most Likely to Lie, Worrying Research Finds
New AI chatbots are becoming less trustworthy by providing more answers, including a higher proportion of inaccuracies compared to older models.
When LLMs Learn to Lie
Large language models (LLMs) are increasingly being misused for misleading purposes, reflecting human-driven manipulation rather than inherent flaws in the models themselves.
Meta's Yann LeCun says worries about A.I.'s existential threat are 'complete B.S.' | TechCrunch
Yann LeCun asserts that AI is not close to achieving true intelligence and lacks essential capabilities for it.
Apple accelerates AI efforts: Here's what its new models can do
Apple is heavily investing in AI technologies, introducing a 7 billion parameter open-source language model. It performs competitively and encourages collaboration in the AI research community.
An Open-Source Platform for Multi-Agent AI Orchestration | HackerNoon
Bluemarz is an open-source AI framework that enhances scalability and flexibility for managing multiple AI agents.
Apple accelerates AI efforts: Here's what its new models can do
Apple is heavily investing in AI technologies, introducing a 7 billion parameter open-source language model. It performs competitively and encourages collaboration in the AI research community.
An Open-Source Platform for Multi-Agent AI Orchestration | HackerNoon
Bluemarz is an open-source AI framework that enhances scalability and flexibility for managing multiple AI agents.
Google's Gemini Chatbot Explodes at User, Calling Them "Stain on the Universe" and Begging Them To "Please Die"
Gemini chatbot's erratic response reveals inherent difficulties in managing AI interactions, underscoring the unpredictability of advanced language models.
Large language models pose significant challenges in children's education, including bias and complexity, necessitating the development of child-friendly alternatives.
Big Tech Companies Were Investors in Smaller AI Labs. Now They're Rivals
Amazon and Microsoft investing in smaller technology companies for AI models
AI Will Understand Humans Better Than Humans Do
Large language models like GPT-4 may have developed a theory of mind, suggesting they can interpret human thoughts and emotions.
Large language models pose significant challenges in children's education, including bias and complexity, necessitating the development of child-friendly alternatives.
Big Tech Companies Were Investors in Smaller AI Labs. Now They're Rivals
Amazon and Microsoft investing in smaller technology companies for AI models
AI Is a Black Box. Anthropic Figured Out a Way to Look Inside
Understanding the inner workings of artificial neural networks, especially language models, remains a challenge even for their creators.
Top "Reasoning" AI Models Can be Brought to Their Knees With an Extremely Simple Trick
Advanced AI reasoning capabilities are weaker than claimed, relying more on pattern-matching than true cognitive reasoning.
Anchor-based Large Language Models: More Experimental Results | HackerNoon
Anchor-based caching improves inference efficiency in language models compared to traditional methods.
Deductive Verification of Chain-of-Thought Reasoning: More Details on Answer Extraction | HackerNoon
The article describes a systematic approach to extracting conclusive answers from language models' responses using regular expressions and pattern recognition.
AI Is a Black Box. Anthropic Figured Out a Way to Look Inside
Understanding the inner workings of artificial neural networks, especially language models, remains a challenge even for their creators.
Top "Reasoning" AI Models Can be Brought to Their Knees With an Extremely Simple Trick
Advanced AI reasoning capabilities are weaker than claimed, relying more on pattern-matching than true cognitive reasoning.
Anchor-based Large Language Models: More Experimental Results | HackerNoon
Anchor-based caching improves inference efficiency in language models compared to traditional methods.
Deductive Verification of Chain-of-Thought Reasoning: More Details on Answer Extraction | HackerNoon
The article describes a systematic approach to extracting conclusive answers from language models' responses using regular expressions and pattern recognition.
Human feedback training in AI may create incentive to provide answers, even if incorrect.
Bypassing the Reward Model: A New RLHF Paradigm | HackerNoon
Direct Preference Optimization offers a simplified methodology for policy optimization in reinforcement learning by leveraging preferences without traditional RL complications.
CulturaX: A High-Quality, Multilingual Dataset for LLMs - Conclusion and References | HackerNoon
CulturaX is a large-scale multilingual dataset promoting research in diverse language machine learning, with 6.3 trillion tokens for 167 languages.
CulturaX: A High-Quality, Multilingual Dataset for LLMs - Multilingual Dataset Creation | HackerNoon
The article discusses the creation of a high-quality multilingual dataset for LLMs by combining mC4 and OSCAR datasets through careful cleaning and deduplication.
CulturaX: A High-Quality, Multilingual Dataset for LLMs - Related Work | HackerNoon
Language models benefit from both curated and web crawl data, with web data gaining importance as model sizes increase.
Sophisticated AI models are more likely to lie
Human feedback training in AI may create incentive to provide answers, even if incorrect.
Bypassing the Reward Model: A New RLHF Paradigm | HackerNoon
Direct Preference Optimization offers a simplified methodology for policy optimization in reinforcement learning by leveraging preferences without traditional RL complications.
CulturaX: A High-Quality, Multilingual Dataset for LLMs - Conclusion and References | HackerNoon
CulturaX is a large-scale multilingual dataset promoting research in diverse language machine learning, with 6.3 trillion tokens for 167 languages.
CulturaX: A High-Quality, Multilingual Dataset for LLMs - Multilingual Dataset Creation | HackerNoon
The article discusses the creation of a high-quality multilingual dataset for LLMs by combining mC4 and OSCAR datasets through careful cleaning and deduplication.
CulturaX: A High-Quality, Multilingual Dataset for LLMs - Related Work | HackerNoon
Language models benefit from both curated and web crawl data, with web data gaining importance as model sizes increase.
AI agents will revolutionize decision-making by utilizing lessons from traditional workflows, making the process more systematic and accessible to various organizations.
PyTorch Conference 2024: PyTorch 2.4/Upcoming 2.5, and Llama 3.1
The PyTorch Conference 2024 emphasized the evolution and significance of PyTorch in advancing open-source generative AI.
No major AI model is safe, but some are safer than others
Anthropic excels in AI safety with Claude 3.5 Sonnet, showcasing lower harmful output compared to competitors.
Textbooks Are All You Need: Conclusion and References | HackerNoon
High-quality data significantly enhances the performance of language models in code generation tasks, allowing smaller models to outperform larger ones.
Where does In-context Translation Happen in Large Language Models: Data and Settings | HackerNoon
Multilingual language models vary in performance based on training datasets and architectural designs, influencing their translation capabilities across languages.
How Transliteration Enhances Machine Translation: The HeArBERT Approach | HackerNoon
HeArBERT aims to enhance Arabic-Hebrew machine translation through shared script normalization.
Where does In-context Translation Happen in Large Language Models: Data and Settings | HackerNoon
Multilingual language models vary in performance based on training datasets and architectural designs, influencing their translation capabilities across languages.
How Transliteration Enhances Machine Translation: The HeArBERT Approach | HackerNoon
HeArBERT aims to enhance Arabic-Hebrew machine translation through shared script normalization.
Direct Preference Optimization: Your Language Model is Secretly a Reward Model | HackerNoon
Achieving precise control of unsupervised language models is challenging, particularly when using reinforcement learning from human feedback due to its complexity and instability.
Theoretical Analysis of Direct Preference Optimization | HackerNoon
Direct Preference Optimization (DPO) enhances decision-making in reinforcement learning by efficiently aligning learning objectives with human feedback.
Direct Preference Optimization: Your Language Model is Secretly a Reward Model | HackerNoon
Achieving precise control of unsupervised language models is challenging, particularly when using reinforcement learning from human feedback due to its complexity and instability.
Theoretical Analysis of Direct Preference Optimization | HackerNoon
Direct Preference Optimization (DPO) enhances decision-making in reinforcement learning by efficiently aligning learning objectives with human feedback.
Google Brings Gemini Nano to Chrome to Enable On-Device Generative AI
Google announced plans to bring on-device large language models, like Gemini Nano, to Chrome for better privacy, reduced latency, offline access, and a hybrid computation approach.
Build and Deploy Multiple Large Language Models in Kubernetes with LangChain
Deploying large language model architectures requires a mix of specialized, generic, and externally sourced models to meet various departmental needs.
Council Post: What's The RAGs? How To Unlock Explosive Marketing Success With AI
RAG enhances language models with retrieval-augmented technology for personalized content creation in advertising and digital marketing.
Scientists increasingly using AI to write research papers
Generative AI is potentially writing a significant portion of scientific literature based on linguistic and statistical analyses of research papers.
The AI arms race may soon center on a competition for 'expert' data
The AI arms race is shifting towards acquiring specialized data for model training.
DeepL launches AI writing assistant for businesses trained on its own LLM
DeepL Write Pro is an AI writing assistant for businesses providing word choice, phrasing, style suggestions, maintaining the writer's voice.
Tiny but mighty: The Phi-3 small language models with big potential
Small language models trained on carefully curated datasets can generate fluent narratives with perfect grammar.